Beta Regression Finite Mixture Models of Polarization and Priming
This paper describes the application of finite-mixture general linear models based on the beta distribution to modeling response styles, polarization, anchoring, and priming effects in probability judgments. These models, in turn, enhance our capacity for explicitly testing models and theories regarding the aforementioned phenomena. The mixture model approach is superior in this regard to popular methods such as extremity scores, due to its incorporation of three submodels (location,...[Show more]
|Collections||ANU Research Publications|
|Source:||Journal of Educational and Behavioral Statistics|
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